Member of Futures Team (frontier Risk & Alignment)

Microsoft Microsoft · Big Tech · New York, NY +1 · Technical Program Management

Research role focused on frontier AI safety, alignment, and societal implications, aiming to prepare Microsoft AI and the broader ecosystem for the future of advanced AI systems. The role involves leading research, producing publications, informing technical and operational workstreams, and collaborating across various teams within Microsoft and with external partners.

What you'd actually do

  1. Identify the most pressing open research questions in frontier risk and alignment, and lead world-class, time-sensitive research with direct industry relevance.
  2. Produce high-quality deliverables including papers, whitepapers, internal memos, blog posts, and briefings that address frontier safety, alignment, and normative model behaviour.
  3. Define normative alignment positions, contributing to value alignment approaches and providing philosophical grounding for frontier model behaviour.
  4. Inform applied safety and governance, including technical evaluation and mitigation efforts, Microsoft's Frontier Governance Framework, model release readiness, and day-to-day governance.
  5. Collaborate across Microsoft with partner teams spanning technical model teams, Responsible AI, Public Policy, red teaming, and security.

Skills

Required

  • Doctoral degree in a related field, OR another advanced degree with equivalent research experience.
  • Research experience in one or more of: Frontier AI safety or governance; Agentic AI safety, collaboration, or societal implications; Alignment; Philosophical and ethical aspects of AI; Institutional preparedness for advanced AI.
  • Deep expertise in frontier risk vectors, frameworks, regulation, or evaluation and mitigation pathways.
  • Track record of writing and thought leadership across formats, including academic papers, books or chapters, journalism, or other public-facing work on AI and society.
  • Sufficient technical understanding of AI, and a proven ability to collaborate with technical stakeholders, anticipate risks grounded in technical developments, and inform mitigation efforts.
  • Strong verbal and written communication skills.

Nice to have

  • Peer-reviewed publications in leading venues.
  • Experience with frontier safety governance or research in leading labs, think tanks, or academic institutions.
  • Applied experience developing or informing alignment frameworks, model specs, novel evaluations, or technical mitigations.
  • Research spanning both empirical and conceptual work on the future impact of AI.

What the JD emphasized

  • lead research that anticipates risks of advanced AI systems
  • superintelligence preparedness
  • multi-agent safety
  • traditional frontier risk vectors
  • research underpinning humanist AI model alignment
  • frontier risk and alignment
  • frontier safety, alignment, and normative model behaviour
  • normative alignment positions
  • value alignment approaches
  • philosophical grounding for frontier model behaviour
  • applied safety and governance
  • technical evaluation and mitigation efforts
  • Frontier Governance Framework
  • model release readiness
  • day-to-day governance
  • technical model teams
  • Responsible AI
  • Public Policy
  • red teaming
  • security
  • external research partners
  • frontier risk forums and conferences
  • Doctoral degree in a related field, OR another advanced degree with equivalent research experience.
  • Frontier AI safety or governance
  • Agentic AI safety, collaboration, or societal implications
  • Alignment
  • Philosophical and ethical aspects of AI
  • Institutional preparedness for advanced AI
  • Deep expertise in frontier risk vectors, frameworks, regulation, or evaluation and mitigation pathways.
  • Track record of writing and thought leadership across formats, including academic papers, books or chapters, journalism, or other public-facing work on AI and society.
  • Sufficient technical understanding of AI
  • proven ability to collaborate with technical stakeholders
  • anticipate risks grounded in technical developments
  • inform mitigation efforts
  • Peer-reviewed publications in leading venues.
  • Experience with frontier safety governance or research in leading labs, think tanks, or academic institutions.
  • Applied experience developing or informing alignment frameworks, model specs, novel evaluations, or technical mitigations.
  • Research spanning both empirical and conceptual work on the future impact of AI.

Other signals

  • frontier models
  • humanist superintelligence
  • controllable AI
  • aligned AI
  • risk of advanced AI systems
  • superintelligence preparedness
  • multi-agent safety
  • frontier risk vectors
  • humanist AI model alignment